Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use dreamfuser/path_to_saved_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dreamfuser/path_to_saved_model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dreamfuser/path_to_saved_model", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/optimizer.bin from dreamfuser/path_to_saved_model: direct link, hf CLI and curl.
- Browser
- Download file 6.88 GB
-
https://huggingface.co/dreamfuser/path_to_saved_model/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://dreamfuser/path_to_saved_model/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/dreamfuser/path_to_saved_model/resolve/main/checkpoint-500/optimizer.bin
6.88 GB
- Xet hash:
- ff76c95471c06102c728e5e9763d5d6f4e7a5a8f201623be99c1270ea1bb0932
- Size of remote file:
- 6.88 GB
- SHA256:
- 00a9687647c08818b358aaad60bfa08a845a81293626dcfd1624651262c5fc14
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